AWS · GCP · Azure marketplaces · deployed in your VPC

The cloud storage substrate for AI workloads.

One platform under every stage of AI — parallel file for training, NVMe block for serving, branchable Postgres for agents. Built for AWS, Google Cloud, and Azure: deployed by terraform into your own account, tiered to object storage by design.

Talk to us → Read the docs deploys in your cloud account · data stays in your VPC
train & checkpoint

Feed GPUs. Checkpoint LLMs.

Parallel file storage that streams training data out of object storage at GPU speed and absorbs checkpoint bursts at tens of gigabytes per second.

Explore MayaNAS →
MayaNAS · Lustre parallel file · NFS · pNFS
serve & store

Databases, vectors, Kubernetes.

Sub-millisecond block storage for the serving side of AI — Postgres and vector indexes, KV-cache tiers, any Kubernetes via CSI. Millions of IOPS per node, active-active HA, per-volume guardrails enforced below the app.

Explore MayaScale →
MayaScale · NVMe-oF block · CSI driver
agentic ai

A database per agent.

Verzo turns MayaScale into branchable Postgres: an isolated, production-like branch for every pull request and coding agent — created in seconds, asleep on object storage when idle, awake on the first query.

Meet Verzo →
Verzo · branchable serverless Postgres
S3 · GCS · Blob
object storage as the substrate, not a backup target
13 GB/s
training throughput served from object storage
2M+ IOPS
per storage node, sub-millisecond
3 clouds
one-click marketplace deploys — AWS, GCP, Azure
Why ZettaLane

Storage that works the way AI teams already do.

Direct on object storage

Training data lives in object storage end to end — read and written in place. No staging jobs, no copy-in/copy-out, no cache tier to size and warm.

Nothing changes in your stack

Standard Lustre and NFS clients, standard NVMe block devices. PyTorch, Kubernetes, and Postgres work exactly as they do today — only the substrate and the cost change.

Your cloud, your data

One terraform deploy into your own account. A single system of record inside your VPC — simple to secure, simple to audit, entirely under your keys.

AI native

Purpose-built for the performance patterns of modern AI workloads — streaming reads that keep GPUs fed, checkpoint bursts, low-latency random I/O for databases and vectors.

Object economics built in

Cold data — old checkpoints, idle database branches — settles to object-storage pricing automatically. No lifecycle rules, no archival projects, nothing deleted.

Managed-service simple

Marketplace deploy, terraform-driven, active-active HA out of the box. The convenience of a managed service, running in your own account.

One shop for all of AI's storage.

Every workload — and every team — is a little different, and we're glad to meet yours where it is. ZettaLane brings the storage you already know to your cloud: Lustre parallel file and NAS for training and checkpoints, served directly out of object storage, and NVMe-oF block for databases, vector indexes, and Kubernetes, with a native object tier for everything cold. All of it a single, friendly terraform deploy away.

file: Lustre · NFS · SMB on object storage  |  block: NVMe-oF · CSI + object tier  |  copy-on-write · active-active HA · terraform · GCP · AWS · Azure
Runs in your cloud

On the marketplaces you already use.

Find ZettaLane in your cloud's marketplace and deploy with terraform into your own account — billing through the cloud agreement you already have.

AWS Marketplace
Google Cloud Marketplace
Azure Marketplace

Built for AI workloads, ready in your cloud.

Self-serve with terraform from your cloud marketplace — ready to deliver for your most demanding workloads.